Data Science Talks

July 9, 2019 (Tuesday)

May 10, 2019 (Friday)

April 12, 2019 (Friday)

Date: July 9, 2019 (Tuesday)
Time: 4 to 5 pm
Venue: Room 1053, 3675 Market Street
Speaker: Maher Harb, Senior Principal Data Scientist at Comcast
Title: Comcast Capstone Project: Using ML to Optimize Network Performance
Dr. Harb will share his experiences transitioning from an academic position at Drexel University to working as Data Scientist at Comcast. He will discuss the Data Science field in terms of opportunities, required skill set, and expectations. He’ll also introduce his work at Comcast on projects that are at the interface between Machine Learning and Digital Signal Processing. A spinoff of one of the projects is offered as capstone project for students in the MSDS program at Drexel. Dr. Harb will describe the project, challenges and possible approaches, and answer any questions from students.

Date: May 10, 2019 (Friday)
Time: 4 to 5 pm
Venue: Room 1103, 3675 Market Street
Speaker: Jack Wasey, BMBCh MA MSci MSc, Attending Anesthesiologist, Children's Hospital of Philadelphia, Departments of Bioinformatics and Anesthesiology
Title: Comparing patients as a step towards automation in healthcare
There is plenty of medical data for analysis, but it is still difficult to make good decisions. Assessing risk, predicting events, and automating decisions all share a need for somehow comparing dissimilar patients with good and bad outcomes. How do we go from population characteristics to a useful prediction for a single patient? I will discuss effective use of diagnostic codes for comparing patients, problems faced with time series of vital signs, and matching techniques for improving comparisons between groups of patients. Likely intermediate steps before highly automated medicine will be described. I will finish by describing opportunities for the application of data science to medicine in general, and my field of anesthesia and critical care.

Date: April 12, 2019 (Friday)
Time: 4 to 5 pm
Venue: Room 1054, 3675 Market Street
Speaker: Professor Gordon Richards, Department of Physics, Drexel University
Title: Astronomy in the Data Deluge Era
The Large Synoptic Survey Telescope (LSST; will define a new era of "Big Data" in astronomy. Currently under construction in Chile and set to start operations in 2021, LSST will produce 200Pb of data during its 10-year period of operations. However, even today the project is pushing the boundaries of big data as astronomers prepare to develop machine learning algorithms to efficiently identify the 40 billion stars and galaxies that LSST will image. I will give an overview of the project and discuss how students interested in data science can start to get involved today using simulated data developed for a recent Kaggle competition (
Slides: Click here.